El precio de acceso a una plataforma de televisión
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Transcript El precio de acceso a una plataforma de televisión
Research problem:
Detecting clusters of
activity in Catalonia
Jenifer Ruiz-Valenzuela
Regional Quantitative Analysis Research Group
Institut d’Economia Aplicada
Regional i Pública
1. Motivation and objectives
Enlargement of the EU to the Central and Eastern European Countries,
Elimination of textile quotas between WTO members.
reinforcement of the relocation processes of industries from west to east.
Objective:
Delimitate those areas that could be more affected by relocation
processes of high risk delocalization sectors in Catalonia
Geographic unit: Local Labour Systems –LLS – (aggregation of
municipalities according to commuting flows. Problem: Modifiable Areal
Unit Problem)
What fraction represents Catalonia in Spain in terms of…
Population: 15,47%
Total GDP: 18,43%
Employment in service sectors: 15,9%
Employment in industrial sectors: 25,04%
Source: INE, 2001
2. Data
Employment in each municipality of Catalonia with a 2-digit
level of sectoral disaggregation - NACE-Rev 1.1. (60 sectors),
2001 (Idescat)
Input-output table of Catalonia, 2001
2. Methodology
1.
Determine those sectors in Catalonia with a higher risk of delocalization
according to:
1.
2.
3.
2.
Existing literature
Closure of establishments between 2001 and 2005
Input-output relations
Compute for each risk sector and LLS the LOCATION QUOTIENTS
(employment data):
Yij
Lij
Yi
Yj
i 1, ..., N; j 1,..., R
Y
Yij Employment in sector j and LLS i
Yi
Total employment in LLS i
Y j Total employment in sector j
Y Total employment in Catalonia
Lij >1: LLS i is more specialized in industry j than Catalonia
2. Methodology
Select high risk LLS according to:
1.
Lij 2 j j
2. Using the LISA cluster map: select the significant high-high values!
BUT: Significant HH values do not correspond with those areas with
a higher location quotient!
3. Research problem:
Example: Manufacturing of textiles
4. Question
Is there any other technique in the
Exploratory Spatial Data Analysis to detect
the particular areas that form a cluster of
activity???